Скачать или смотреть How to Group and Transform Data in XSLT 2.0 Efficiently

Discover how to effectively group and transform XML data using XSLT 2.0, ensuring your data integrity and accuracy while leveraging advanced techniques.
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This video is based on the question https://stackoverflow.com/q/74472901/ asked by the user 'Vic' ( https://stackoverflow.com/u/4682041/ ) and on the answer https://stackoverflow.com/a/74473597/ provided by the user 'Martin Honnen' ( https://stackoverflow.com/u/252228/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Grouping and Transforming Data Using XSLT 2.0

In the world of XML data management, data transformation is an essential task. XSLT (eXtensible Stylesheet Language Transformations) allows us to convert XML documents into different formats, making it easier to manipulate and present our data. However, when working with more complex XML structures, such as needing to group and transform data across different elements, the process can become challenging. Today, we'll tackle a frequent question: how to group and transform data properly using XSLT 2.0.

The Problem

Imagine you have the following XML structure that consists of two different groups: Data_Group and Pay_Data_Group. Each group contains an ID, but the data must be processed in relation to these IDs. The goal is simple but not trivial: you want to determine if the IDs from the Data_Group match those in the Pay_Data_Group and extract specific values based on those matches.

Example XML Structure

Here’s a snippet of the XML you'll work with:

[[See Video to Reveal this Text or Code Snippet]]

The Approach

To accomplish the task, we need to leverage the power of XSLT 2.0. The essence of the solution lies in grouping both Data_Group and Pay_Data_Group together based on their ID fields. Here's how to effectively implement this:

Step 1: Grouping the Data

You’ll want to use the xsl:for-each-group to combine both groups by their ID. This way, you can easily check for matches and calculate values from both Data_Group and Pay_Data_Group.

Example XSLT Code

Here’s how you can structure your XSLT template:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Solution

Grouping by ID: The select="Data_Group | Pay_Data_Group" combines both groups, allowing you to handle them in a unified fashion.

Check for Matches: The condition current-group()[2] checks if there are at least two items in the current group, ensuring there’s a match between the two sections of data.

Calculating Converted Hours: Inside the xsl:if, we use format-number to scale the Amount from Pay_Data_Group as required, which is shown inside <Converted_Hrs>.

Conclusion

With the structure laid out here, you can handle more complex scenarios where multiple entries might exist, and grouping enables you to efficiently find matches and transform your XML data accordingly. Mastering XSLT 2.0’s grouping features can greatly simplify your XML data manipulation tasks and improve your responsiveness to evolving data needs.

By following this guide, you can confidently approach your XML transformations and create well-formatted outputs tailored to your requirements.